We propose an unsupervised machine learning method based on autoencoders to design the gain profile of few-mode-fiber Raman amplifiers. We test the method for flat and tilted profiles across the C+L optical band, using a few-mode fiber supporting 6 LP mode groups.
Gain Design of Few-Mode Fiber Raman Amplifiers Using an Autoencoder-Based Machine Learning Approach
Marcon G.;Galtarossa A.;Palmieri L.;Santagiustina M.
2020
Abstract
We propose an unsupervised machine learning method based on autoencoders to design the gain profile of few-mode-fiber Raman amplifiers. We test the method for flat and tilted profiles across the C+L optical band, using a few-mode fiber supporting 6 LP mode groups.
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